Triple
T23295676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reba |
E590161
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Van Montgomery |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Van Montgomery | Statement: [Reba, hasCharacter, Van Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Montgomery Context triple: [Reba, hasCharacter, Van Montgomery]
-
A.
Van Montgomery
chosen
Van Montgomery is a fictional character from the sitcom "Reba," known as the goofy yet good-hearted football player who marries Reba's pregnant teenage daughter.
-
B.
Monty Montgomery
Monty Montgomery is an American film producer and occasional actor best known for his work on distinctive, offbeat films such as David Lynch’s "Wild at Heart."
-
C.
William Montgomery
William Montgomery was a British cryptanalyst involved in the decryption of the Zimmermann Telegram during World War I.
-
D.
Sam Montgomery
Sam Montgomery is a writer best known for contributing to the song "Breakdown."
-
E.
Bill Montgomery
Bill Montgomery was an American conservative activist best known as the co-founder and early mentor behind the youth-focused political organization Turning Point USA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cec9e88190b83cfd53a6455e0f |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.